We performed a comparison between AWS Auto Scaling and Splunk ITSI (IT Service Intelligence) based on real PeerSpot user reviews.
Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The various scaling options available, such as step scaling, are particularly useful."
"Our internal business applications are hosted in AWS Auto Scaling."
"The tool's most valuable feature is vertical auto-scaling, which is easy to use. However, most companies now prefer horizontal scaling. I set up the health check integration to monitor CPU usage. When it reaches seventy percent, it sends me an email notification."
"The solution helps optimize the cost of the AWS environment."
"It is a stable platform."
"It helps us to reduce the cost."
"AWS Auto Scaling is cost-effective and very useful for businesses."
"The most valuable feature is the ability to select a minimum amount of active servers so that a new server automatically launches if one fails."
"Splunk ITSI helps us secure our environment by allowing us to create automatons that run when alerts are triggered."
"The flexibility to develop and consolidate many solutions into one platform is great."
"ITSI provides a visual representation of complex tools and context, using color coding and other features to make it easy for anyone at the monitoring or service desk to use."
"ITSI's most valuable feature is that it's easy to integrate DLP."
"The KPS used to automate the integration policy is the most valuable feature of Splunk ITSI."
"One particularly useful feature of Splunk ITSI is the ability to create custom services."
"One of the excellent features is the service analyzer, which is truly impressive."
"The glass tables are very helpful."
"The solution's infrastructure scalability and elasticity could be improved."
"AWS Auto Scaling's documentation could be better."
"The tool's stability could be improved."
"The tool must include AI features."
"The product could add more features for managing instances."
"The solution must improve automation."
"The speed of the solution must be improved."
"Flexibility in configuring the workload is missing in AWS Auto Scaling."
"We'd like them to show more inputs on the dashboard."
"I believe the refresh time should be faster."
"Some of our customers occasionally require the development of the connectors when there are no native connectors so that we can develop in Python or for customer slash comments as well. If they could adjust that, it would be ideal."
"The data recovery has room for improvement."
"Integration is the most critical area to improve in Splunk IT Service Intelligence (ITSI). It wasn't a great experience because you had to do a little back and forth to integrate the solution."
"If the product had some prebuilt machine learning features, it would add value to our use cases."
"We're getting alerts with delays of maybe five minutes, however, we'd like to see real-time alerting in the future."
"The end-to-end visibility in Splunk ITSI is limited and has room for improvement."
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AWS Auto Scaling is ranked 15th in Application Performance Monitoring (APM) and Observability with 18 reviews while Splunk ITSI (IT Service Intelligence) is ranked 12th in Application Performance Monitoring (APM) and Observability with 30 reviews. AWS Auto Scaling is rated 8.8, while Splunk ITSI (IT Service Intelligence) is rated 8.2. The top reviewer of AWS Auto Scaling writes "The product helps reduce costs and avoids interruptions to the customer experience". On the other hand, the top reviewer of Splunk ITSI (IT Service Intelligence) writes "Provides great end-to-end visibility into our network environment and helped us reduce alert noise". AWS Auto Scaling is most compared with , whereas Splunk ITSI (IT Service Intelligence) is most compared with ServiceNow IT Operations Management, Grafana, Dynatrace, Splunk APM and BMC TrueSight Operations Management. See our AWS Auto Scaling vs. Splunk ITSI (IT Service Intelligence) report.
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We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
